This paper reports a web-based platform-independent adaptive learning system that serves both students and teachers. The content in the system is individually tailored toward student knowledge, which makes learning more personal, adaptive towards individual needs, and specialized. For teachers, the system provides a generic rules-based library to supervise student learning. These rules enable teachers to choose different assessment, assignment, and learning strategies. The system automatically accommodates these strategies for students according to the teacher?s selections and the student?s performance. Our system architecture is component-based and web-based. The learning environment in the system is comparable to classroom learning environments.